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» Approximate Learning of Dynamic Models
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ICCS
2005
Springer
15 years 10 months ago
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
Lean Yu, Shouyang Wang, Kin Keung Lai
CVPR
2008
IEEE
16 years 6 months ago
Action recognition using exemplar-based embedding
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...
Daniel Weinland, Edmond Boyer
ESWA
2008
169views more  ESWA 2008»
15 years 4 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
ICCV
2005
IEEE
15 years 10 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
MICRO
2002
IEEE
97views Hardware» more  MICRO 2002»
15 years 9 months ago
Instruction fetch deferral using static slack
In this paper we present an approach to boosting performance and tolerating latency by deferring non-critical instructions into a deferred queue for later processing. As such, ins...
Gregory A. Muthler, David Crowe, Sanjay J. Patel, ...